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Improving Uncertainty-Error Correspondence in Deep Bayesian Medical Image Segmentation2024 The Journal of Machine Learning for Biomedical Imaging article Computer Science Medical Image Segmentation Techniques Open access
Prerak Mody, Nicolas F. Chaves-de-Plaza, Chinmay Rao, Eleftheria Astrenidou, Mischa de Ridder, Nienke Hoekstra, +2 more
2citations -
Bayesian calibration, process modeling and uncertainty quantification in biotechnology2021 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science Gaussian Processes and Bayesian Inference Open access
Laura M. Helleckes, Michael Osthege, Wolfgang Wiechert, Eric von Lieres, Marco Oldiges
4citations -
Combining Bayesian and Evidential Uncertainty Quantification for Improved Bioactivity Modeling2025 Journal of Chemical Information and Modeling article Computer Science Computational Drug Discovery Methods Open access
Kajetan Schweighofer, Natalia Dyubankova, Gerard J. P. van Westen, Herman van Vlijmen
8citations -
Improving Error Detection in Deep Learning Based Radiotherapy Autocontouring Using Bayesian Uncertainty2022 Lecture notes in computer science conference-paper Computer Science Medical Image Segmentation Techniques
Prerak Mody, Nicolas F. Chaves-de-Plaza, Klaus Hildebrandt, Marius Staring
4citations -
Comparing Bayesian models for organ contouring in head and neck radiotherapy2022 SPIE Medical Imaging: Image Processing conference-paper Computer Science Medical Image Segmentation Techniques Open access
Prerak Mody, Nicolas F. Chaves-de-Plaza, Klaus Hildebrandt, René van Egmond, Huib de Ridder, Marius Staring
5citations -
Comparing Bayesian Models for Organ Contouring in Head and Neck Radiotherapy2021 arXiv (Cornell University) preprint Computer Science Medical Image Segmentation Techniques Open access
Prerak Mody, Nicolas F. Chaves-de-Plaza, Klaus Hildebrandt, René van Egmond, Huib de Ridder, Marius Staring
0citations